According to a random sample taken at 12 A. M., body temperatures of healthy adults have a bell-shaped distribution with a mean of F and a standard deviation of F. Using Chebyshev's theorem, what do we know about the percentage of healthy adults with body temperatures that are within standard deviations of the mean? What are the minimum and maximum possible body temperatures that are within standard deviations of the mean? At least nothing% of healthy adults have body temperatures within standard deviations of F. (Round to the nearest percent as needed.)

At least 89% of the data

Minimum = 96.34 F

Maximum=  100.06 F

Step-by-step explanation:

According to the  Chebyshev's theorem 89% of the data are within the 3 standard deviations of the mean.

The mean body temperature is 98.20 F  and standard deviation is 0.62 F

Mean- 3SD= 98.20 F- 3(0.62)=  98.20 F- 1.86= 96.34 F

Mean + 3SD= 98.20 F + 3(0.62)=  98.20 F+ 1.86= 100.06 F

distance covered by pamela in 9 l of fuel = 99km

let us apply unitary method here.

distance covered by pamela in 1 l of fuel =99/9 =11 km

now let us find distance covered by pamela if she has 12 l of fuel.

distance covered in 12 l = distance covered in 1 l of fuel * 12

we know that distance covered by here in 1 l is 11 km.

so distance covered in 12 l of fuel = 11*12 = 132 km.

the first one

step-by-step explanation:

just id the test.